前言:大语言模型(LLMs)规模庞大但效率低下的问题长期备受关注。尽管模型参数持续增长,其在长文本处理中的性能衰减、计算资源消耗等问题始终未能有效解决。谷歌DeepMind最新提出的MoR架构,可能为这一困境提供了新的解决路径。作者| 方文三图片来源|网 络传统模型的困境局限当前性能发展长期以来,Transformer架构始终作为大型语言模型的核心架构,然而随着研究的深入,其固有局限性亦逐渐显现。...
Source Link前言:大语言模型(LLMs)规模庞大但效率低下的问题长期备受关注。尽管模型参数持续增长,其在长文本处理中的性能衰减、计算资源消耗等问题始终未能有效解决。谷歌DeepMind最新提出的MoR架构,可能为这一困境提供了新的解决路径。作者| 方文三图片来源|网 络传统模型的困境局限当前性能发展长期以来,Transformer架构始终作为大型语言模型的核心架构,然而随着研究的深入,其固有局限性亦逐渐显现。...
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